Title
The User's Human Values Scale Methodology in Recommender Systems from Several Information Sources of the Organization
Abstract
The main objective of this paper aims at developing a methodology that takes into account the human factor extracted from the several information sources of the organization of the recommender systems. This methodology is capable of extracting the Human Values Scale from the user, with reference to his/her features, in order to improve the adaptation of the Recommender Systems. This research is focused on the analysis of human values scale using the Portrait Values Questionnaire of Schwartz, which can take advantage of the several information sources of the organization through its attributes to define the methodology that response with more exactitude to preferences and interests of the user. This paper presents a demonstration of how the Human Values Scale of a user can be extracted from several information sources of the organization. A case study is presented to apply the methodology, in an effort to extract the user human values scale from bank domains.
Year
DOI
Venue
2008
10.1007/978-3-540-88636-5_85
MICAI
Keywords
Field
DocType
information source,information sources,human values scale methodology,recommender system,recommender systems,human factor,user human values scale,portrait values questionnaire,human values scale,case study,main objective,bank domain,human factors
Recommender system,Computer science,Human–computer interaction,Human values
Conference
Volume
ISSN
Citations 
5317
0302-9743
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Javier Guzmán-obando111.07
Josep Lluís De La Rosa226041.38
Silvana Aciar31078.02
Miquel Montaner420523.60
José A. Castán541.63
Julio Laria600.34